Abstract. In this paper, an iterative method is presented to solve the linear matrix equation AXB = C over the generalized reflexive (or anti-reflexive) matrix X (A ∈ Rp×n; B ∈ Rm×q, C ∈ Rp×q, X ∈ ...

Abstract: In this paper Recurrent neural networks for solving linear matrix equations are proposed. we give an overview of recent research into recurrent algorithms for the solution of linear matrix ...

The objective of this project was to produce an efficient C++ library for solving linear systems of the form Ax = b where A is a matrix and x and b are vectors respectively. We use multiple algorithms ...

In this paper, the matrix Riccati equation is considered. There is no general way for solving the matrix Riccati equation despite the many fields to which it applies. While scalar Riccati equation has ...

Hessian matrices are square matrices consisting of all possible combinations of second partial derivatives of a scalar-valued initial function. As such, Hessian matrices may be treated as elementary ...

Abstract: In solving the large-scale sparse complex linear equation group, a lot of CPU operational time and computer memory is consumed to access zero elements of sparse coefficient matrix. As an ...

Linear Algebra Matrix Solver merupakan simple computer yang dirancang khusus untuk menyelesaikan berbagai permasalahan matriks pada aljabar linear. Rangkaian matriks prosesor ini memiliki ISA yang ...

Understanding the mechanism of how neural networks learn features from data is a fundamental problem in machine learning. Our work explicitly connects the mechanism of neural feature learning to a ...

The linear logistic test model (LLTM) is a well-recognized psychometric model for examining the components of difficulty in cognitive tests and validating construct theories. The plausibility of the ...